Literature DB >> 23454228

The network level reproduction number for infectious diseases with both vertical and horizontal transmission.

Ling Xue1, Caterina Scoglio.   

Abstract

A wide range of infectious diseases are both vertically and horizontally transmitted. Such diseases are spatially transmitted via multiple species in heterogeneous environments, typically described by complex meta-population models. The reproduction number, R0, is a critical metric predicting whether the disease can invade the meta-population system. This paper presents the reproduction number for a generic disease vertically and horizontally transmitted among multiple species in heterogeneous networks, where nodes are locations, and links reflect outgoing or incoming movement flows. The metapopulation model for vertically and horizontally transmitted diseases is gradually formulated from two species, two-node network models. We derived an explicit expression of R0, which is the spectral radius of a matrix reduced in size with respect to the original next generation matrix. The reproduction number is shown to be a function of vertical and horizontal transmission parameters, and the lower bound is the reproduction number for horizontal transmission. As an application, the reproduction number and its bounds for the Rift Valley fever zoonosis, where livestock, mosquitoes, and humans are the involved species are derived. By computing the reproduction number for different scenarios through numerical simulations, we found the reproduction number is affected by livestock movement rates only when parameters are heterogeneous across nodes. To summarize, our study contributes the reproduction number for vertically and horizontally transmitted diseases in heterogeneous networks. This explicit expression is easily adaptable to specific infectious diseases, affording insights into disease evolution.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23454228     DOI: 10.1016/j.mbs.2013.02.004

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  2 in total

1.  Modelling the effects of seasonality and socioeconomic impact on the transmission of rift valley Fever virus.

Authors:  Yanyu Xiao; John C Beier; Robert Stephen Cantrell; Chris Cosner; Donald L DeAngelis; Shigui Ruan
Journal:  PLoS Negl Trop Dis       Date:  2015-01-08

2.  A spatially explicit metapopulation model and cattle trade analysis suggests key determinants for the recurrent circulation of rift valley Fever virus in a pilot area of madagascar highlands.

Authors:  Gaëlle Nicolas; Véronique Chevalier; Luciano Michaël Tantely; Didier Fontenille; Benoît Durand
Journal:  PLoS Negl Trop Dis       Date:  2014-12-04
  2 in total

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